Unveiling Gold Return Volatility: ARIMA-GARCH Model Predicts Future Trends
The study aimed to analyze the volatility of gold returns by using GARCH models to address the issue of varying residuals in time series data. They examined return data from January 1, 2014, to September 23, 2016, using various data analysis techniques. The results indicated that the best model for modeling gold return volatility was ARIMA (3,0,3)-GARCH (1,1).